Predicting Asteroid Diameter

Size matters.... when it comes to asteroids

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This project involves predicting asteroid diameters based on various orbital data and physical parameters provided by NASA JPL.

During this project, I gained extensive knowledge about analyzing high-dimensional data, fixing skewed data and removing outliers, data correlation, preprocessing pipelines, and explaining black-box models using SHAP values. Check out the report for more information.

I completed this project during my Classification and Regression (CLR204) class last year (Sep 2023).

Technologies used:

1. Data analysis and engineering: NumPy and Pandas
2. Data visualization and plotting: Seaborn
3. Creating preprocessing pipelines and machine learning models: Scikit-Learn (might update to PyTorch later)

Dataset Link: https://github.com/blakelobato/Predicting-Asteroid-Diameter-Dash/blob/master/model/Pred_Ast_Diam_2.csv